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Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods
2019
JAMIA Journal of the American Medical Informatics Association
Identification of drugs, associated medication entities, and interactions among them are crucial to prevent unwanted effects of drug therapy, known as adverse drug events. This article describes our participation to the n2c2 shared-task in extracting relations between medication-related entities in electronic health records. We proposed an ensemble approach for relation extraction and classification between drugs and medication-related entities. We incorporated state-of-the-art named-entity
doi:10.1093/jamia/ocz101
pmid:31390003
pmcid:PMC6913215
fatcat:l2ciicjt6zaqniafn7ibkfef3e